Evidence map›Paper›PMID 21111407›Full record

ArticleComprehensive psychiatry

Patterns of comorbidity among mental disorders: a person-centered approach.

Uma Vaidyanathan, Christopher J Patrick, William G Iacono

Abstract read
In one paragraph

Article in Comprehensive psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Observational
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  17. Evidence of a prominent genetic basis for associations between psychoneurometric traits and common mental disorders.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2017
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  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Uma VaidyanathanDepartment of Psychology, Florida State University, Tallahassee, FL 32306, USA. uma@psy.fsu.edu
Christopher J Patrick
William G Iacono

Funding

Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentU01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2007 to 2010
$10.8M
Project 6: Individual Differences in the Motivational Substrates (pg 275)P50MH072850 · NIMH · UNIVERSITY OF FLORIDA · PI PRINCIPE, JOSE CARLOS · 2005 to 2009
$8.8M
Twin Family Study of Vulnerability to Substance AbuseR37DA005147 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2009 to 2018
$6.4M
TWIN/FAMILY STUDY OF VULNERABILITY TO SUBSTANCE ABUSER01DA005147 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI IACONO, WILLIAM G · 1987 to 2007
$5.5M
TWIN STUDY OF ADHD, CD, AND SUBSTANCE ABUSER01DA013240 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI IACONO, WILLIAM G. · 2000 to 2010
$5.0M
Delineating the Externalizing Construct &Its FacetsR21MH065137 · NIMH · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PATRICK, CHRISTOPHER JOHN · 2001 to 2005
$2.3M
Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentR01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2011 to 2011
$1.6M
Trait Fear and Disinhibition in Impulse Control DisordersRC1MH089727 · NIMH · FLORIDA STATE UNIVERSITY · PI PATRICK, CHRISTOPHER JOHN · 2009 to 2010
$942k
NIDA NIH HHS DA 024417NIDA NIH HHS DA 05147NIDA NIH HHS DA 13240NIDA NIH HHS R01 DA005147NIDA NIH HHS R01 DA013240NIDA NIH HHS R01 DA024417NIDA NIH HHS R37 DA005147NIDA NIH HHS U01 DA024417NIMH NIH HHS MH 072850NIMH NIH HHS MH 089727NIMH NIH HHS MH 65137NIMH NIH HHS P50 MH072850NIMH NIH HHS R21 MH065137NIMH NIH HHS RC1 MH089727
6 · The paper itself

Abstract

objectiveComorbidity poses a major challenge to conventional methods of diagnostic classification. Although dimensional models of psychopathology have shed some light on this issue, the reason for interrelationships among dimensions is unclear. The current study employed an alternative approach to characterizing patterns of comorbidity among common mental disorders by modeling them instead as clusters by using latent class analysis (LCA).

methodLatent class analyses of Diagnostic and Statistical Manual of Mental Disorders diagnoses from two nationally representative epidemiological samples--the National Comorbidity Survey and National Comorbidity Survey--Replication datasets--were undertaken.

resultsWithin each dataset, LCA yielded 5 latent classes exhibiting distinctive profiles of diagnostic comorbidity: a fear class (all phobias and panic disorder), a distress class (depression, generalized anxiety disorder, dysthymia), an externalizing class (alcohol and drug dependence, conduct disorder), a multimorbid class (highly elevated rates of all disorders), and a few-disorders class (very low probability of all disorders). Whereas some disorders were relatively specific to certain classes, others (major depression, posttraumatic stress disorder, social phobia) appeared to be evident across all classes. Profiles for the five classes were highly similar across the two samples. When bipolar I disorder was added to the LCA models, in both samples, it occurred almost exclusively in the multimorbid class.

conclusionsComorbidity among mental disorders in the general population appears to occur in a finite number of distinct patterns. This finding has important implications for efforts to refine existing diagnostic classification schemes, as well as for research directed at elucidating the etiology of mental disorders.

Indexed as

AdolescentAdultAgedAged, 80 and overBipolar DisorderCluster AnalysisComorbidityHealth SurveysHumansInterview, PsychologicalMental DisordersMiddle AgedModels, StatisticalYoung Adult

Identifiers

PMID21111407
PMCPMC3110544

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.